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Software-Defined Optimal Computation Task Scheduling in Vehicular Edge Networking.

Zhiyuan Li1,2,3, Ershuai Peng1

  • 1College of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China.

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Summary
This summary is machine-generated.

This study introduces an optimal control algorithm for task scheduling in vehicular edge computing (VEC) to balance computation load. The software-defined networking approach enhances resource utilization and meets delay requirements in dynamic VEC environments.

Keywords:
computation task schedulingoptimal controlresource allocationsoftware-defined vehicular edge networking

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Area of Science:

  • Computer Science
  • Networking
  • Artificial Intelligence

Background:

  • Vehicular Edge Computing (VEC) offers advantages like lower latency and higher bandwidth compared to traditional cloud computing.
  • Dynamic network topologies and bursty task arrivals in VEC lead to unbalanced computation loads.
  • Efficient task scheduling is crucial for optimizing VEC performance.

Purpose of the Study:

  • To address computation load unbalancing in Vehicular Edge Computing (VEC) networks.
  • To propose an optimal control-based algorithm for vehicular computation-intensive task scheduling.
  • To enhance VEC networking structure using software-defined networking (SDN) and OpenFlow.

Main Methods:

  • Developed an optimal control-based computing task scheduling algorithm.
  • Introduced a software-defined vehicular edge networking structure utilizing SDN/OpenFlow.
  • Leveraged global load status information for load balancing.
  • Implemented automatic parameter tuning for adaptiveness in dynamic environments.

Main Results:

  • Achieved global optimum results and effective load balancing in VEC networks.
  • Demonstrated strong adaptiveness to dynamic network conditions.
  • Significantly improved the utilization of computation resources.
  • Met the stringent computation and transmission delay requirements for vehicular tasks.

Conclusions:

  • The proposed optimal control-based algorithm effectively balances computation load in VEC.
  • The SDN/OpenFlow framework provides an adaptive and efficient VEC networking structure.
  • The approach enhances resource utilization and meets performance demands for vehicular applications.